Meeting report: Consensus recommendations for a research agenda to address immunosuppressant nonadherence in organ transplantation

Demographic Factors, Medication Adherence, and Post-transplant Health Outcomes: A Longitudinal Multilevel Modeling Approach

Few studies in pediatric solid organ transplantation have examined non-adherence to immunosuppressive medication over time and its associations with demographic factors and post-transplant outcomes including late acute rejection and hospitalizations. We examined longitudinal variation in patient Medication Level Variability Index (MLVI) adherence data from pediatric kidney, liver, and heart transplant recipients. Patient and administrative data from the United Network for Organ Sharing were linked with electronic health records and MLVI values for 332 patients. Multilevel mediation modeling indicated comparatively more variation in MLVI values between patients than within patients, longitudinally, over 10 years post transplant. MLVI values significantly predicted late acute rejection and hospitalization. MLVI partially mediated patient factors and post-transplant outcomes for patient age indicating adolescents may benefit most from intervention efforts. Results demonstrate the importance of longitudinal assessment of adherence and differences among patients. Efforts to promote medication adherence should be adapted to high-risk patients to increase likelihood of adherence.

Optimizing medication adherence with home-monitoring - A feasibility study using capillary microsampling and mHealth in solid organ-transplanted adolescents

BACKGROUND

Reliable methods to detect and reduce medication nonadherence in solid organ-transplanted (SOT) adolescents are warranted. We aimed to evaluate the feasibility of combining a medication-manager application (TusenTac®-app) with home-sampling of tacrolimus (Tac) in young SOT recipients.

METHODS

Kidney and combined SOT recipients between 14 and 25 years were included. During an 8-week intervention period, the participants were instructed to use the transplant-specific, age-adapted TusenTac®-app daily and to perform weekly at-home Tac trough finger-prick microsampling. Microsample Tac concentrations were controlled against timed venous samples twice. Medication implementation and persistence adherence were measured with BAASIS© questionnaires, TusenTac®-registrations, Tac trough concentration coefficient of variation (CV%) and self-reporting by interview. For comparison, venous Tac trough CV% were obtained from the year before and after the short-term intervention.

RESULTS

Twenty-two recipients were included, two withdrawals, leaving 20; median age 17.9 (14.5-24.8) years, 12 females (60%). The participants registered their dosage intake 88% (1502/1703) of the expected times, and 90% (106/118) of the microsamples were obtained correctly. At inclusion, 11 recipients (55%) were nonadherent assessed with BAASIS© questionnaire, four of these (36%) turned adherent during the intervention period. At the end, 70% reported improved timing-adherence at the interview. There was no significant change in TacCV% from the year before to the year after the short-term intervention. Home-sampling was reliable and measured Tac concentrations accurately.

CONCLUSIONS

Home-monitoring, combining Tac finger-prick microsampling and a medication-manager app, is feasible in adolescent SOT recipients with 70% perceived improvement in medication timing-adherence. There were no significant long-term changes in TacCV% confirming the need for continuous use and individualized interventions.

Engaging Adolescent Heart Transplant Recipients Through In-App Messaging During Mobile Health Intervention

Introduction: Adolescents heart transplant recipients experience difficulty with adherence to immunosuppressive medication leading to increased risk of organ rejection, hospitalization, and mortality. Few interventions have been successful to promote medication adherence in adolescent heart transplant patients as most fail to engage the patient in the behavioral change process and support patient-provider communication. The purpose of this study was to explore the nature and degree of in-app communication between adolescent heart transplant recipients and nursing staff during an asynchronous mobile video directly observed therapy intervention. Methods: A content analysis of 894 in-app messages exchanged between 10 adolescent patients and nurses during a 12-week mobile-based intervention was conducted. Two authors used an inductive, iterative process to guide a thematic analysis of the asynchronous in-app messages with high interrater reliability ranging from 81.5% to 100%. Findings: In-app messages fell under 3 broad content categories: (1) interpersonal support and rapport-building, (2) medically related questions and information, or (3) functional information about the intervention and the mHealth app. Results demonstrated the degree to which interpersonal engagement occurred during the intervention, the nature of these exchanges, and their relationship to medication adherence. Conclusions: The study provided insights into the feasibility and benefits of 2-way communication features of the directly observed therapy intervention in promoting engagement and in improving medication adherence among adolescent heart transplant patients. Continued research and clinical focus on patient engagement and impactful aspects of interpersonal communication could aid in the translation of this intervention into standard clinical care at pediatric transplant centers.

A Digital Intervention Using Daily Financial Incentives to Increase Medication Adherence in Severe Mental Illness: Single-Arm Longitudinal Pilot Study

BACKGROUND

Medication nonadherence is prevalent in severe mental illness and is associated with multiple negative outcomes. Mobile technology and financial incentives show promise to improve medication adherence; however, studies in mental health, especially with oral medications, are lacking.

OBJECTIVE

The aim of this paper is to assess the feasibility and effectiveness of offering financial incentives through a mobile app based on behavioral economics principles to improve medication adherence in severe mental illness.

METHODS

A 10-week, single-arm longitudinal pilot study was conducted. Patients earned rewards in the context of app-based adherence incentives. The reward was split into biweekly payments made in increments of US $15, minus any US $2 per day penalties for missed check-ins. Time-varying effect modeling was used to summarize the patients' response during the study.

RESULTS

A total of 25 patients were enrolled in this pilot study, of which 72% (n=18) were female, and 48% (n=12) were of a White racial background. Median age was 24 (Q1-Q3: 20.5-30) years. Participants were more frequently diagnosed with schizophrenia and related disorders (n=9, 36%), followed by major depressive disorder (n=8, 32%). App engagement and medication adherence in the first 2 weeks were higher than in the last 8 weeks of the study. At study endpoint, app engagement remained high (n=24, Z=-3.17; P<.001), but medication adherence was not different from baseline (n=24, Z=-0.59; P=.28).

CONCLUSIONS

Financial incentives were effectively delivered using an app and led to high engagement throughout the study and a significantly increased medication adherence for 2 weeks. Leveraging behavioral economics and mobile health technology can increase medication adherence in the short term.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04191876; https://clinicaltrials.gov/ct2/show/NCT04191876.

Directly observed therapy to promote medication adherence in adolescent heart transplant recipients

PURPOSE

HT recipients experience high levels of medication non-adherence during adolescence. This pilot study examined the acceptability and feasibility of an asynchronous DOT mHealth application among adolescent HT recipients. The app facilitates tracking of patients' dose-by-dose adherence and enables transplant team members to engage patients. The DOT application allows patients to self-record videos while taking their medication and submit for review. Transplant staff review the videos and communicate with patients to engage and encourage medication adherence.

METHODS

Ten adolescent HT recipients with poor adherence were enrolled into a single-group, 12-week pilot study examining the impact of DOT on adherence. Secondary outcomes included self-report measures from patients and parents concerning HRQOL and adherence barriers. Long-term health outcomes assessed included AR and hospitalization 6 months following DOT.

FINDINGS

Among 14 adolescent HT patients approached, 10 initiated the DOT intervention. Of these, 8 completed the 12-week intervention. Patients and caregivers reported high perceptions of acceptability and accessibility. Patients submitted 90.1% of possible videos demonstrating medication doses taken. MLVI values for the 10 patients initiating DOT decreased from 6 months prior to the intervention (2.86 ± 1.83) to 6 months following their involvement (2.08 ± 0.87) representing a 21.7% decrease in non-adherence, though not statistically significant given the small sample size.

CONCLUSIONS

Result of this pilot study provides promising insights regarding the feasibility, acceptability, and potential impact of DOT for adolescent HT recipients. Further randomized studies are required to confirm these observations.

Designing an App for Immunosuppression Adherence and Communication: A Qualitative Approach

Background:

Immunosuppression nonadherence may be the most important factor limiting long-term allograft survival.

Objective:

Following user-centered design, we explored the essential priorities and preferences of kidney transplant recipients and healthcare providers (HCP) to inform development of a smartphone app to improve immunosuppression adherence and communication.

Design:

A qualitative descriptive research design was used.

Setting:

The University of Alberta Hospital adult kidney transplant program in Edmonton, Canada.

Participants:

Participants were recruited by convenience sampling and included 32 kidney transplant recipients and 11 HCPs.

Methods:

Seven focus groups (5 with recipients and 2 with HCPs) were conducted to inform app development. Sessions were recorded, and transcripts were coded to elucidate themes.

Results:

App development to improve adherence was not a priority for HCP. Recipients prioritized choice: that all features be optional. Recipients preferred support while traveling; access to laboratory results; and use by younger or newly transplanted recipients. Both recipients and HCP preferred linkage to pharmacy; and self-management and accountability. For the app to improve communication, HCPs believed the priorities to be addressed included: clarity on scope of app; legal, ethical, and professional obligations; and charting. Both recipients and HCP prioritized HCP workload, and broader medication and health concerns. Healthcare providers preferred tech support; both recipients and HCPs preferred app access for nontransplant HCP.

Limitations:

Limitations include underrepresentation of physicians, recipients with racial/ethnic diversity, and potential selection bias of transplant recipients who perceived themselves to be adhering to immunosuppression medications.

Conclusion:

Future research is needed for the app to become a comprehensive, secure platform for broader communication between recipients and HCP, pharmacies, and nontransplant clinicians while streamlining HCP workload.

Medication, Healthcare Follow-up, and Lifestyle Nonadherence: Do They Share the Same Risk Factors?

Barriers to medication adherence may differ from barriers in other domains of adherence. In this study, we assessed the association between pre-kidney transplantation (KT) factors with nonadherent behaviors in 3 different domains post-KT.

METHODS

We conducted a prospective cohort study with patient interviews at initial KT evaluation (baseline-nonadherence predictors in sociodemographic, condition-related, health system, and patient-related psychosocial factors) and at ≈6 mo post-KT (adherence outcomes: medications, healthcare follow-up, and lifestyle behavior). All patients who underwent KT at our institution and had ≈6-mo follow-up interview were included in the study. We assessed nonadherence in 3 different domains using continuous composite measures derived from the Health Habit Survey. We built multiple linear and logistic regression models, adjusting for baseline characteristics, to predict adherence outcomes.

RESULTS

We included 173 participants. Black race (mean difference in adherence score: -0.72; 95% confidence interval [CI], -1.12 to -0.32) and higher income (mean difference: -0.34; 95% CI, -0.67 to -0.02) predicted lower medication adherence. Experience of racial discrimination predicted lower adherence (odds ratio, 0.31; 95% CI, 0.12-0.76) and having internal locus of control predicted better adherence (odds ratio, 1.46; 95% CI, 1.06-2.03) to healthcare follow-up. In the lifestyle domain, higher education (mean difference: 0.75; 95% CI, 0.21-1.29) and lower body mass index (mean difference: -0.08; 95% CI, -0.13 to -0.03) predicted better adherence to dietary recommendations, but no risk factors predicted exercise adherence.

CONCLUSIONS

Different nonadherence behaviors may stem from different motivation and risk factors (eg, clinic nonattendance due to experiencing racial discrimination). Thus adherence intervention should be individualized to target at-risk population (eg, bias reduction training for medical staff to improve patient adherence to clinic visit).

Perspectives of solid organ transplant recipients on medicine-taking: Systematic review of qualitative studies

Medicine-taking among transplant recipients is a complex and ubiquitous task with significant impacts on outcomes. This study aimed to describe the perspectives and experiences of medicine-taking in adult solid organ transplant recipients. Electronic databases were searched to July 2020, and thematic synthesis was used to analyze the data. From 119 studies (n = 2901), we identified six themes: threats to identity and ambitions (impaired self-image, restricting goals and roles, loss of financial independence); navigating through uncertainty and distrust (lacking tangible/perceptible benefits, unprepared for side effects, isolation in decision-making); alleviating treatment burdens (establishing and mastering routines, counteracting side effects, preparing for the unexpected); gaining and seeking confidence (clarity with knowledge, reassurance through collective experiences, focusing on the future outlook); recalibrating to a new normal posttransplant (adjusting to ongoing dependence on medications, in both states of illness and health, unfulfilled expectations); and preserving graft survival (maintaining the ability to participate in life, avoiding rejection, enacting a social responsibility of giving back). Transplant recipients take medications to preserve graft function, but dependence on medications jeopardizes their sense of normality. Interventions supporting the adaptation to medicine-taking and addressing treatment burdens may improve patient satisfaction and capacities to take medications for improved outcomes.

From Nonadherence to Adherence

Medication nonadherence (MNA) after solid organ transplantation is highly prevalent and associated with (late) (sub)clinical acute rejection, graft dysfunction and graft loss, development of donor-specific anti-HLA antibodies, and antibody-mediated rejection. MNA is predominantly unintentional and originates from barriers to adherence that are often multifactorial and complex. Tools to establish an early diagnosis of MNA include incorporation of MNA as a vital sign in daily clinical practice, self-reporting using validated questionnaires, calculating intrapatient variability in drug exposure and applying electronic monitoring, and recent audio and video technologies such as in home telemonitoring. MNA is a modifiable risk factor after organ transplantation, and treatment is most effective if a multimodal approach is used. Management of MNA comprises education (cognitive) and counseling (behavioral) that require the involvement of a trained multidisciplinary team [ideally physician, nurse (specialist), social worker, transplant coordinator, psychologist, clinical pharmacist], electronic reminder and support systems (eg, Medication Event Monitoring System, smartphone), and different types of novel mobile health applications as well as simplification of the medication dosing regimen. Future studies that evaluate novel therapeutic approaches for MNA should assure the use of reliable MNA measures, focus on multimodal individualized therapy for enriched nonadherent target populations (eg, adolescents), and incorporate clinically relevant endpoints. Costs, time, and personnel investments should be taken into account when assessing scalability and cost-effectiveness of novel therapeutic strategies. This review provides suggestions how different types of transplant centers can set up a dedicated MNA program according to available resources to define and achieve realistic clinical goals in managing MNA.

Impact of a Mobile Health Intervention on Long-term Nonadherence After Lung Transplantation: Follow-up After a Randomized Controlled Trial

BACKGROUND

In a randomized controlled trial, lung transplant recipients (LTRs) using a mobile health intervention, Pocket Personal Assistant for Tracking Health (Pocket PATH), showed better adherence to the medical regimen than LTRs receiving usual care during the first year posttransplant. We examined whether these effects were maintained beyond the end of the trial and evaluated other potential risk factors for long-term nonadherence.

METHODS

Adherence in 8 areas was evaluated at follow-up in separate LTR and family caregiver (collateral) assessments. Pocket PATH and usual care groups' nonadherence rates were compared; multivariable regression analyses then examined and controlled for other patient characteristics' associations with nonadherence.

RESULTS

One hundred five LTRs (75% of survivors) were assessed (M = 3.9 years posttransplant, SD = 0.8). Nonadherence rates in the past month were 23%-81% for self-care and lifestyle requirements (diet, exercise, blood pressure monitoring, spirometry), 13%-23% for immunosuppressants and other medications, and 4% for tobacco use, with 31% clinic appointment nonadherence in the past year. In multivariable analysis, the Pocket PATH group showed lower risk of nonadherence to lifestyle requirements (diet/exercise) than the usual care group (P < 0.05). Younger age and factors during the first year posttransplant (acute graft rejection, chronically elevated anxiety, less time rehospitalized, nonadherence at the final randomized controlled trial assessment) were each associated with nonadherence in at least 1 area at follow-up (P < 0.05).

CONCLUSIONS

Pocket PATH did not have sustained impact on most areas of the regimen, although we identified other risk factors for long-term nonadherence. Future work should explore strategies to facilitate sustained effects of mobile health interventions.

Development of the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) Medication Adherence Scale (PMAS)

Poor medication adherence is associated with reduced drug effectiveness, poor health-related quality of life, increased morbidity and mortality, and increased healthcare utilization and cost. Including the patient's voice is essential in understanding barriers to adherence. Useful patient-reported adherence measures are brief, inexpensive, non-invasive; can indicate barriers to adherence; and can be incorporated in electronic health records. The NIH Patient-Reported Outcomes Measurement Information System (PROMIS^®) includes high-quality, freely available patient-reported measures covering many important constructs in patient-centered research but does not include a medication adherence measure. To fill this gap, we developed the PROMIS Medication Adherence Scale (PMAS) using the rigorous PROMIS instrument development guidelines. To develop the PMAS, we first conducted a review of the reviews, which enabled us to identify content areas relevant to medication adherence behavior. Then, we conducted qualitative research to elicit patients' views of and experiences with medication adherence. This process identified the following important content areas to guide item writing: extent medication is taken, knowledge of medication regimen, beliefs about medication, remembering to take medication, skipping due to side effects, skipping due to feeling better, and cost of medications. Based on the results of these activities, we wrote items and aimed to retain 1-2 items per content area. The final item set included 9 total adherence items, which were then refined through intensive comprehension and translatability review, as well as cognitive interviews. Future steps include testing the PMAS's validity.